• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2013년도 추계학술발표대회
• /
• pp.192-194
• /
• 2013

가상화 기술의 발달은 클라우드 데이터센터(cloud datacenter)에서의 서버 통합(server consolidation)을 지원하며 이를 통하여 물리적 머신(physical machine, PM) 관리 비용을 감소시킬 수 있다. 그러나 서버가 통합됨에 따라 가상 머신(virtual machine, VM) 간섭이 생길 수 있고 이는 성능 감소의 원인이 된다. 따라서 VM 간섭과 PM 관리 비용을 감소시키는 것은 트레이드오프(trade-off)를 이루며 본 논문에서는 이를 해결하기 위하여 VM 간섭 계측(quantizing)을 위한 기법과 비용 효율적 VM 배치(placement)를 위한 휴리스틱(heuristics)을 제안한다.

• 대한본초학회지
• /
• 제28권4호
• /
• pp.17-23
• /
• 2013

Objectives : The objective of the paper was to study cutting method of Gardeniae frutus, that tends to show symptom of separations in a packing, in accordance with the comparison experiment of quantification and antioxidant effect proceed with the intact Gardeniae fructus(Gf), seed of Gardeniae fructus (Gs) and the pericarp of Gardeniae fructus (Gp) separately. Methods : The Gf, Gs, and Gp were extracted using 80% MeOH, followed by quantizing geniposide contained in each group. A MTT assay was conducted and ROS generation and NO production were measured for comparing its antioxidant effect. Results : As a result of quantizing geniposide contained in the Gf, Gp, and Gs, respectively, the geniposide content was shown to be the highest in the Gs. MTT assay showed that no cytotoxicity was observed in the groups treated with Gf, Gp, and Gs, respectively, at a dose of 500 ${\mu}g/ml$. The ROS generation was shown to have more significantly decreased in the group pretreated with Gf 500 ${\mu}g/ml$ than in the group treated with LPS. The NO level was shown to have more significantly decreased in the group pretreated with Gp 500 ${\mu}g/ml$ than in the group treated with LPS. Conclusion : As the geniposide content and antioxidant effect of Gf varies according to its each part, it is recommended that Gf should be distributed as an intact form other than segregation in packing.

• 한국방사선학회논문지
• /
• 제12권4호
• /
• pp.505-510
• /
• 2018

의료영상의 프랙탈 부호화 방법은 영상을 반복 변환시스템인 IFS(iterated function system)를 구성해야하고, 이를 위해 영상영역을 레인지 영역으로 분할하고 각 레인지블록에 대해 탐색하게 될 도메인 블록에서 가장 닮은 최적의 블록을 찾는다. 이때, 결정되는 변환계수 값과 좌표의 정보를 프랙탈 계수로 전송한다. 본 연구에서는 이러한 프랙탈 계수들을 확률분포를 추출할 수 있는 양자화기를 통해 양자화 하여 비트를 할당하였다. IFS를 구성하는 부호화과정에서 가변크기 블록방법을 사용하여 부호화시간을 단축하고 압축률을 향상시키는 방법을 제시하였다. 추후 프랙탈 부호화과정에서 화질을 최상으로 유지하면서 부호화시간을 단축시키고 압축률을 높이는 연구가 더 진행되어야 할 것 으로 본다.

• 한국멀티미디어학회논문지
• /
• 제7권3호
• /
• pp.319-326
• /
• 2004

본 논문에서는 물체의 경계선을 고려한 칼라 영상 분할 방법을 제안한다. 제안 방법은 먼저 원영상을 벡터 양자화한 후 양자화된 영상의 인덱스 맵을 이용하여 초기 영역을 설정하였다. 그 후 HSI컬러 공간을 이용한 영역 병합에서 물체의 경계선을 고려하기 위해 경계선 제한 성분을 적용하여 영역들을 병합하였다. 또한 RGB 컬러 공간을 이용하여 HSI 컬러 공간에서 병합되지 않은 영역들을 병합하였다. 그리 고 영역병합 알고리즘을 통해 반복적인 처리를 감소시킴으로써 처리 시간을 줄였다. 실험 결과에서는 다양한 영상에 대해 주요 영역들의 분할 결과 및 처리소요시간에서 우수한 성능을 보였다.

• 대한의용생체공학회:의공학회지
• /
• 제12권4호
• /
• pp.235-242
• /
• 1991

This research has reported that the selection and assessment of treatment in anxiety disorders depend to a large extend on patient reports of somatic symptomatology. However, the correspondence between such reports and actual physiological data Is unknown as the physiological measures used were taken in laboratory. The purpose of the ambulatory momboring device is, therefore, to present for analysis physiological data derived from the sub jects during their daily activities. The physiological parameters of interest are heart rate, respiratory rate, skin conductance level/response, skin temperature, and activity level. This device had an microcomputer based data acquisition unit, Interfaced to it for the purpose of data collection. The data is collected usually over a period of 12 hours. The data from the ambulatory monitoring device can be used to assess the psychophysiology of anxiety in the field. The data from the device will also reveal if patients who report different sets of symptoms differ physiologically too. Thls will help physicians for the right kind of treatment and also solve the many uncertainties that have existed thus far in quantizing anxiety.

• The Journal of the Acoustical Society of Korea
• /
• 제29권3E호
• /
• pp.131-139
• /
• 2010

This paper proposes a novel spectral hole substitution technique for low bit-rate audio coding. The spectral holes frequently occurring in relatively weak energy bands due to zero bit quantization result in severe quality degradation, especially for harmonic signals such as speech vowels. The enhanced aacPlus (EAAC) audio codec artificially adjusts the minimum signal-to-mask ratio (SMR) to reduce the number of spectral holes, but it still produces noisy sound. The proposed method selectively predicts the spectral shapes of hole bands using either intra-band correlation, i.e. harmonically related coefficients nearby or inter-band correlation, i.e. previous frames. For the bands that have low prediction gain, only the energy term is quantized and spectral shapes are replaced by pseudo random values in the decoding stage. To minimize perceptual distortion caused by spectral mismatching, the criterion of the just noticeable level difference (JNLD) and spectral similarity between original and predicted shapes are adopted for quantizing the energy term. Simulation results show that the proposed method implemented into the EAAC baseline coder significantly improves speech quality at low bit-rates while keeping equivalent quality for mixed and music contents.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
• /
• pp.675-681
• /
• 1989

As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, It is necessary to analyze the effects of the CMAC control parameters an the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with prespecified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.

• 한국정보통신학회논문지
• /
• 제10권3호
• /
• pp.453-458
• /
• 2006

본 논문에서는 복원이 가능한 웨이블릿 변환을 사용한 통합된 손실 압축 방법을 제안한다. 제안한 알고리즘은 압축효율을 높이기 위하여 전처리로 양자화를 한 후 웨이블릿 필터를 적용하여 대역분할을 한다. 그 후 허프만 부호화법을 이 용하여 웨이블릿 계수를 다시 양자화 한다. 본 방법에 의해 재구성된 영상들은 JPEG 및 선 양자화 없이 원 영상의 웨이블릿 계수들을 부호화하는 방법에 비해 높은 PSNR을 보였다. 선 양자화 과정을 사용함으로서 최대 에러를 조절 할 수 있었다. 본 방법은 대규모 영상압축에 유용할 것으로 기대된다.

• 생물환경조절학회지
• /
• 제1권1호
• /
• pp.37-51
• /
• 1992

Quantizing and extracting visual features of mushroom(Lentinus edodes L.) are crucial to the sorting and grading automation, the growth state measurement, and the dried performance indexing. A computer image processing system was utilized for the extraction and measurement of visual features of front and back sides of the mushroom. The image processing system is composed of the IBM PC compatible 386DK, ITEX PCVISION Plus frame grabber, B/W CCD camera, VGA color graphic monitor, and image output RGB monitor. In this paper, an automatic thresholding algorithm was developed to yield the segmented binary image representing skin states of the front and back sides. An eight directional Freeman's chain coding was modified to solve the edge disconnectivity by gradually expanding the mask size of 3$\times$3 to 9$\times$9. A real scaled geometric quantity of the object was directly extracted from the 8-directional chain element. The external shape of the mushroom was analyzed and converted to the quantitative feature patterns. Efficient algorithms for the extraction of the selected feature patterns and the recognition of the front and back side were developed. The developed algorithms were coded in a menu driven way using MS_C language Ver.6.0, PC VISION PLUS library fuctions, and VGA graphic functions.

• 한국기계연구소 소보
• /
• 통권19호
• /
• pp.125-139
• /
• 1989

As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, it is necessary to analyze the effects of the CMAC control parameters on the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with pre specified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.